Patrick Walther / Director of Product AI, AgVend
I build AI products for the largest agricultural retail platform in North America. My work sits at the intersection of voice interfaces, agent orchestration, and the people who feed the world.
How I Think
These aren't abstract principles. They shape every product decision, every architecture choice, every conversation with a customer.
Relationships in agriculture are built over decades by people. AI carries context they can't hold in their head, runs scenarios they don't have time for, drafts the next step so they can approve it in seconds. But the person decides.
"This customer is 15% down" is information. "Here's who to call, why, and a draft message" is value. Dashboards don't change behavior. Actionable next steps embedded in real workflows do.
What are we trying to achieve? Work backward. If AI doesn't make life measurably easier for the person on the ground, it doesn't belong.
Dirty hands. Windshield time. Sunshine on screens. For the first time, technology can adapt to how agriculture already works instead of forcing behavior change.
Nobody sees how farmer, retailer, and manufacturer contexts connect. Specialized agents at each level synthesize across all of it and surface the right action to the right person at the right moment.
Humans remain in control by default. Delegation is explicit and earned. Actions are auditable and reversible. Trust is built, not assumed.
What I've Built
Each of these solves a real problem for real people in agriculture. No solutions looking for problems.
Text-to-SQL that lets anyone query agricultural retail data in plain English. No SQL knowledge needed. Built for the salesperson, not the analyst. Ask a question, get an answer.
Outcome-based queries. Instead of "show me data," ask "who should I call today and why?" Turns raw data into actionable next steps that drive real revenue.
Voice agent for field sales. Talk to your AI teammate while driving between farm calls. Update CRM, get briefed on the next customer, approve suggested orders. All by voice, all hands-free.
Agent orchestration across farmer, retailer, and manufacturer levels. Hundreds of specialized agents working together to surface the next best action. The system that sees everything.
Personal Operating System
The same philosophy I apply at AgVend, I apply to my own life. AI as an extension of how I think, decide, and act.
Writing & Thinking
My thesis on why the agriculture industry needs to move from isolated AI point solutions to orchestrated agent systems that see across the entire value chain.
Writing about AI in agriculture, agent orchestration, voice interfaces, and building a personal operating system. Stay tuned.
What Others Say
Within the first session, we gained clarity and identified actionable solutions that would have taken weeks of meetings and back-and-forth emails to refine.
Executive Director, Canadian Seed Growers' Association
He has already saved me several hours each week.
Owner, Upstream Ag Insights
About
Swiss guy who bet on AI in agriculture before it was a conversation anyone was having. I've built companies from premium pastured goose meat to machine learning models for crop analytics to a marketplace connecting farmers directly with buyers.
Now I'm building the AI orchestration layer for AgVend, the largest agricultural retail platform in North America with 35% US market share. The work that matters most to me: making technology disappear into the workflow so the people who feed the world can do it better.